San Murugesan

3.9k total citations · 3 hit papers
76 papers, 2.0k citations indexed

About

San Murugesan is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, San Murugesan has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Information Systems, 9 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in San Murugesan's work include Mobile and Web Applications (15 papers), Web Applications and Data Management (14 papers) and Web Data Mining and Analysis (10 papers). San Murugesan is often cited by papers focused on Mobile and Web Applications (15 papers), Web Applications and Data Management (14 papers) and Web Data Mining and Analysis (10 papers). San Murugesan collaborates with scholars based in Australia, United States and Malaysia. San Murugesan's co-authors include Athula Ginige, Yogesh Deshpande, Bhuvan Unhelkar, Aswani Kumar Cherukuri, Nir Kshetri, Norita Ahmad, Raj Gururajan, Sunil Mithas, Martin Gaedke and Steve Hansen and has published in prestigious journals such as Journal of the American Chemical Society, Computer and IEEE Intelligent Systems.

In The Last Decade

San Murugesan

69 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Harnessing Green IT: Principles and Practices

2008 691 citations San Murugesan IT Professional profile →
Understanding Web 2.0

2007 349 citations San Murugesan IT Professional profile →
The Rise of Agentic AI: Implications, Concerns, and the Path Forward

2025 18 citations San Murugesan IEEE Intelligent Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
San Murugesan Australia	18	808	554	361	306	263	76	2.0k
Jörn Altmann South Korea	23	509 0.6×	234 0.4×	478 1.3×	326 1.1×	193 0.7×	139	2.0k
Rusli Abdullah Malaysia	21	521 0.6×	261 0.5×	205 0.6×	209 0.7×	330 1.3×	201	2.2k
Rüdiger Zarnekow Germany	21	391 0.5×	314 0.6×	190 0.5×	342 1.1×	332 1.3×	155	1.7k
Coral Calero Spain	24	1.1k 1.4×	396 0.7×	441 1.2×	110 0.4×	117 0.4×	119	2.0k
Hemant Jain United States	25	630 0.8×	148 0.3×	193 0.5×	403 1.3×	339 1.3×	114	2.0k
Jari Porras Finland	23	310 0.4×	250 0.5×	170 0.5×	232 0.8×	91 0.3×	113	2.0k
Sehl Mellouli Canada	18	308 0.4×	170 0.3×	336 0.9×	327 1.1×	128 0.5×	74	2.6k
Birgit Penzenstadler United States	24	756 0.9×	1.0k 1.8×	140 0.4×	279 0.9×	74 0.3×	126	2.1k
Chris Preist United Kingdom	24	326 0.4×	325 0.6×	373 1.0×	275 0.9×	66 0.3×	103	1.9k
Theo Lynn Ireland	25	877 1.1×	156 0.3×	793 2.2×	425 1.4×	169 0.6×	158	2.3k

Countries citing papers authored by San Murugesan

Since Specialization

Citations

This map shows the geographic impact of San Murugesan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by San Murugesan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites San Murugesan more than expected).

Fields of papers citing papers by San Murugesan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by San Murugesan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by San Murugesan. The network helps show where San Murugesan may publish in the future.

Co-authorship network of co-authors of San Murugesan

This figure shows the co-authorship network connecting the top 25 collaborators of San Murugesan. A scholar is included among the top collaborators of San Murugesan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with San Murugesan. San Murugesan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Murugesan, San. (2025). The Turing Test at 75: Its Legacy and Future Prospects. IEEE Intelligent Systems. 40(1). 20–24.

2.

Murugesan, San & Aswani Kumar Cherukuri. (2023). The Rise of Generative Artificial Intelligence and Its Impact on Education: The Promises and Perils. Computer. 56(5). 116–121. 46 indexed citations

3.

Ahmad, Norita, San Murugesan, & Nir Kshetri. (2023). Generative Artificial Intelligence and the Education Sector. Computer. 56(6). 72–76. 53 indexed citations

4.

Jain, Sarika & San Murugesan. (2021). Smart Connected World. 3 indexed citations

5.

Murugesan, San & Charalampos Z. Patrikakis. (2020). Envisioning Our Future Digital World. IT Professional. 22(1). 17–19.

6.

Murugesan, San, Zihao Jiang, Michael J. Risbeck, et al.. (2020). Less is More. 20–23. 3 indexed citations

7.

Murugesan, San, et al.. (2012). A New Conceptual Model of Mobile Multimedia Services (MMS) and 3G Network Adoption in Indonesia. -1(8). 49–63. 4 indexed citations

8.

Murugesan, San. (2012). Cloud Computing: A New Paradigm in IT that has the Power to Transform Emerging Markets. 4(2). 4–11.

9.

Rossi, Gustavo, et al.. (2012). IT in Emerging Markets. IT Professional. 14(4). 2–3. 2 indexed citations

10.

Unhelkar, Bhuvan & San Murugesan. (2010). The Enterprise Mobile Applications Development Framework. IT Professional. 12(3). 33–39. 55 indexed citations

11.

Murugesan, San, et al.. (2010). 3G Mobile multimedia services (MMS) utilization in Indonesia: An exploratory research. 145–155. 6 indexed citations

12.

Unhelkar, Bhuvan, et al.. (2009). Accruing Business Value Through the Adoption of Semantic Web Technologies. Digital Commons - University of South Florida (University of South Florida). 22(9). 24. 1 indexed citations

13.

Murugesan, San, et al.. (2005). Extraction of keyterms by simple text mining for business information retrieval. 332–339. 9 indexed citations

14.

Ginige, Athula, et al.. (2004). A new context-based information retrieval system. International Conference on Artificial Intelligence. 2 indexed citations

15.

Murugesan, San. (2002). Intelligent agents on the Internet and Web. 1. 97–102. 16 indexed citations

16.

Deshpande, Yogesh, San Murugesan, Athula Ginige, & Steve Hansen. (2001). Teaching Web Development at Undergraduate and Postgraduate: Experience and Recommendations.. WebNet. 284–289. 1 indexed citations

17.

Murugesan, San & Yogesh Deshpande. (2001). Web Engineering, Software Engineering and Web Application Development. Journal of the American Chemical Society. 141(37). 14501–14504. 8 indexed citations

18.

Ginige, Athula, et al.. (2001). A road map for successfully transforming SMEs into e-businesses. 10 indexed citations

19.

Murugesan, San. (1999). Intelligent Agents On The Internet And Web: Applications and Prospects.. Informatica (slovenia). 23. 1 indexed citations

20.

Murugesan, San. (1997). Intelligent software agents on the Internet and Web. 220 vol.1–220 vol.1. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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